Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
About the role
- Data Engineer building and enhancing a modern Data Lake architecture on AWS for game analytics and event tracking. Collaborating with multiple teams for data analysis and reporting.
Responsibilities
- You will build and continuously develop our modern Data Lake architecture on AWS (S3, Glue, Athena, Iceberg).
- You will design and implement scalable ETL/ELT pipelines using Apache Airflow, dbt and Apache Spark to process large volumes of data — from real-time events to structured storage following a medallion architecture.
- You will design and implement a comprehensive game analytics and event-tracking system for our gaming platform (Spawn Engine, G-RGS) to capture player behavior, game performance and business KPIs in real time.
- You will implement extensive data quality checks with dbt tests and Great Expectations, as well as monitoring solutions to ensure data quality and availability.
- You will work closely with our teams (backend, frontend, statistics, math, finance) to provide high-performance data analyses and reports.
- You will optimize queries and data storage for cost-efficient, high-performance analytics workloads and automate data processing with Infrastructure as Code (IaC).
Requirements
- You have a degree in computer science or an equivalent qualification.
- You have at least 3–4 years of professional experience in data engineering or a related field.
- You have excellent skills in Python (pandas, pyarrow, boto3).
- You bring solid experience with cloud platforms (ideally AWS) and modern data lake technologies.
- You have worked with message queues (RabbitMQ) and workflow orchestration (Airflow or similar tools).
- You are familiar with columnar file formats (Parquet) and modern table formats (Apache Iceberg, Delta Lake).
- Ideally, you have experience with dbt, Spark or comparable data transformation tools and with visualization tools like Tableau or Metabase.
- You have a good understanding of data modeling, partitioning strategies and performance optimization.
- You are open to AI technologies and are willing to take responsibility for our internal AI systems and their further development.
- Ideally, you have experience in the gaming industry and understand the specifics of gaming data and metrics.
- You are strong in communication and empathetic when interacting with different personalities.
- You have a high degree of self-organization and self-reflection for working within a hybrid, collaborative work model.
- You have a can-do mentality and are enthusiastic about driving things forward.
- You are characterized by an independent working style and define quality as a success factor.
- You write and speak very good German (C1) and good English.
Benefits
- Lived company values in a collaborative working environment.
- Sustainable company growth.
- Hybrid work model: maximum flexibility regarding working hours and workplace.
- Well-equipped office in Berlin-Mitte as a centrally located meeting place.
- A warm welcome through an intensive, structured onboarding.
- Learning & Development through the GAMOcademy.
- Annual development review and targeted development measures.
- Health care – company health insurance, mental health platform & bike leasing.
Job title
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